Misadventures with Reproducibility in R

R Ladies Melbourne, 29 Nov 2022

Cynthia Huang

About Me

Itinerary

Surveying the Tools Landscape

My Journey with Reproducibility

What about you?

Tips for Choosing your Own Adventure

Reproducibility! Now!

An illustration of reasons why we should care about working reproducibly. Fig 7, Guide for Reproducible Research, The Turing Way

An ever growing pile of tools…

pkg hex_button
renv
litr

Mapping my Journey

some context…

  • majored in economics at Unimelb – no coding! very little econometrics… mostly theory..
  • taught myself to code in R & python while working as a research assistant at UniMelb
  • designed, collected, wrangled and explored all sorts of wild caught data – surveys, archives, time-series, spatial, panel, text…
  • dabbling with modelling..

Wandering the forest

Up into the Clouds

Out to Sea

  • command line interface
  • literature programming, authoring frameworks
  • version control
  • collaboration
  • “you should check this out”

What about you?

Menti-Meter

Enablers - Life changing tools? -

Frictions - Things you “should” do, but just can’t -

Choose your Own Adventure

Lessons from my misadventures

  • Invest in the command line

Thanks for listening!

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